7 days ago
Bengaluru, India or Hyderābād, IndiaMid Level
Responsibilities
- Understand business challenges and collaborate with business and engineering stakeholders to define solutions.
- Design statistical or deep learning solutions for enterprise data problems.
- Build GenAI-powered applications, RAG pipelines, AI agents, and agentic workflows.
- Develop solutions independently or guide others in their implementation.
- Deliver AI and data products into production with governance, reliability, and observability.
- Design and ship end-to-end applications spanning backend APIs, data services, and frontend or UI layers.
- Build multi-agent systems that coordinate retrieval, reasoning, and action steps across data pipelines.
- Prototype and ship AI, ML, and GenAI solutions for enterprise problems.
Requirements
- Bachelor’s degree or equivalent experience with 2+ years in software and applied AI/ML engineering.
- Programming proficiency in Python or Java.
- Experience building GenAI-powered applications with RAG pipelines, embeddings, vector databases, and semantic search.
- Experience integrating AI solutions with structured and unstructured enterprise data.
- Practical experience building AI agents or agentic workflows involving planning, memory, tool use, and execution loops.
- Experience with frameworks such as LangChain, LlamaIndex, or similar.
- Preferred experience with full-stack application development and end-to-end data or AI products.
- Preferred experience with multi-agent systems, cloud data platforms, cloud-native architectures, and AWS, GCP, or Azure.
- Preferred experience with PyTorch or TensorFlow for model training and serving.
- Preferred experience with React, Streamlit, or FastAPI for internal data and AI applications and dashboards.
- Ability to translate ambiguous business problems into scalable technical designs and move solutions from prototype to production.
- Strong collaboration and communication skills across technical, non-technical, business, and engineering teams.
- Enterprise experience in Retail, Finance, Sales, Marketing, or Operations analytics is a plus.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.